Paper Citation Record · LEDGER

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification

As of 8 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2507.21642.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.21642 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:36:19.265120Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:36:14.939053Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T12:36:19.393272Z

Reference resolution

46 of 46 outbound references displayed

verified exact0
verified fuzzy40
unresolved5
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0d7fdc80-86a8-45d4-8f83-7ff408980450 · outbound

This paper cites In-the-wild (ITW) refers to data that is not recorded or collected in a highly controlled environ- ment [1].

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification In-the-wild (ITW) refers to data that is not recorded or collected in a highly controlled environ- ment [1]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.347827Z

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Observation d39270fe-4d4d-49d2-aa0c-7197b77f5b29 · outbound

This paper cites Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification

Reference 2

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Observation 3d8a8247-85f7-42fe-9e62-1715c538b78f · outbound

This paper cites For the first training stage, simple filename and label pairs are derived from non-ITW datasets.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification For the first training stage, simple filename and label pairs are derived from non-ITW datasets

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.320435Z

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Observation deb1ed1e-34e7-4258-87eb-c7cb1c86c98d · outbound

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Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Unresolved cited work

Reference 4

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Observation 18f3e325-9386-4531-9dd6-f7eb3020ba32 · outbound

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Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Unresolved cited work

Reference 5

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Observation b202d257-f806-44c3-a2b5-8e725b0e3ef8 · outbound

This paper cites noisiness.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification noisiness

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.293300Z

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Observation 0eab6f77-b80c-489d-b6d9-13c2aa1b0544 · outbound

This paper cites It was shown that the AITW dataset can be used to train classifiers on multispeaker, foreign language, background music, noise and synthetic speech labels.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification It was shown that the AITW dataset can be used to train classifiers on multispeaker, foreign language, background music, noise and synthetic speech labels

Reference 7

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Observation 662c5dbe-1be9-445e-801f-2669df316465 · outbound

This paper cites An open-source speaker gender detection framework for moni- toring gender equality,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification An open-source speaker gender detection framework for moni- toring gender equality,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.213158Z

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Observation f66a5262-6e0e-4108-a8df-557f08781bcd · outbound

This paper cites Label Studio: Data labeling software,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Label Studio: Data labeling software,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.203845Z

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Observation 80080ab1-ade4-4845-89ee-65c9459317ce · outbound

This paper cites V oxceleb2: Deep speaker recognition,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification V oxceleb2: Deep speaker recognition,

Reference 10

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Observation 7f0c58ca-f948-4e55-ad21-a87f4cf104a9 · outbound

This paper cites YODAS: Youtube-Oriented Dataset for Audio and Speech,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification YODAS: Youtube-Oriented Dataset for Audio and Speech,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.263840Z

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Observation d4a39cdd-a493-4d96-90f3-f2082407f8dd · outbound

This paper cites Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation

Reference 12

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Observation d42dd31b-d7a2-4b0c-ac1c-20430aa0225f · outbound

This paper cites Speak, read and prompt: High-fidelity text-to-speech with min- imal supervision,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Speak, read and prompt: High-fidelity text-to-speech with min- imal supervision,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.253100Z

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Observation 4e3daa7b-011d-4649-8449-6688a6aeeeb6 · outbound

This paper cites synthetic speech and non-target languages in many cases).

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification synthetic speech and non-target languages in many cases)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.339065Z

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Observation 788c4853-3cc5-42c1-b3fe-f9e889214510 · outbound

This paper cites mhubert-147: A compact multilingual hubert model,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification mhubert-147: A compact multilingual hubert model,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.242353Z

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Observation 3a99ca04-b170-4b91-9a1c-1a49d79b0ac9 · outbound

This paper cites Sentence level intelligibility eval- uation for mandarin text-to-speech systems using semantically unpredictable sentences,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Sentence level intelligibility eval- uation for mandarin text-to-speech systems using semantically unpredictable sentences,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.232020Z

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Observation 8095009c-91eb-4157-b76f-2d882ec09be2 · outbound

This paper cites Data-filtering methods for self-training of auto- matic speech recognition systems,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Data-filtering methods for self-training of auto- matic speech recognition systems,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.222623Z

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Observation dfd21f4b-5d2b-4ef0-ac35-e1014274d4fb · outbound

This paper cites Attention is All you Need,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Attention is All you Need,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.026366Z

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Observation b9c5a3b8-08c8-40f9-9502-6c92053cb87b · outbound

This paper cites pyannote.audio 2.1 speaker diarization pipeline: prin- ciple, benchmark, and recipe,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification pyannote.audio 2.1 speaker diarization pipeline: prin- ciple, benchmark, and recipe,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.194492Z

Source-reported events for the cited work

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Observation 6c8d09a5-d94e-415b-ae78-4a814d3773de · outbound

This paper cites FoR: A dataset for synthetic speech detection,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification FoR: A dataset for synthetic speech detection,

Reference 20

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Observation 9a699321-9cf0-4061-93d0-a07c96283c51 · outbound

This paper cites AASIST: Audio Anti-Spoofing Us- ing Integrated Spectro-Temporal Graph Attention Networks,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification AASIST: Audio Anti-Spoofing Us- ing Integrated Spectro-Temporal Graph Attention Networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.083301Z

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Observation d2e535ba-d3a9-4939-8abf-99a1931349bd · outbound

This paper cites This as- sumption is validated later in our results, cf.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification This as- sumption is validated later in our results, cf

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.329846Z

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Observation 431ed380-c6a3-4748-9ba2-f678217b81d3 · outbound

This paper cites Robust speech recognition via large-scale weak su- pervision,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Robust speech recognition via large-scale weak su- pervision,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.073766Z

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Observation 7a73256a-16f2-4004-b601-e7a39733765d · outbound

This paper cites Perceive and predict: Self-supervised speech representation based loss func- tions for speech enhancement,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Perceive and predict: Self-supervised speech representation based loss func- tions for speech enhancement,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.064610Z

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Observation 1d4fe041-0f67-4bbe-9392-c30dc86605ce · outbound

This paper cites Transcription-free fine-tuning of speech separation models for noisy and reverberant multi-speaker automatic speech recognition,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Transcription-free fine-tuning of speech separation models for noisy and reverberant multi-speaker automatic speech recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.055009Z

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Observation 4bd74790-bffe-434a-8f27-88d484b90167 · outbound

This paper cites Non-intrusive speech intelligibility pre- diction for hearing-impaired users using intermediate asr features and human memory models,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Non-intrusive speech intelligibility pre- diction for hearing-impaired users using intermediate asr features and human memory models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.045407Z

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Observation 9a794ed0-4674-4f02-afdc-075e8d938a42 · outbound

This paper cites Heterogeneity over homogeneity: Investigating multilingual speech pre-trained models for detecting audio deepfake,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Heterogeneity over homogeneity: Investigating multilingual speech pre-trained models for detecting audio deepfake,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.036295Z

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Observation f78d6fe7-9e8c-4e81-9b18-d2446077e1d7 · outbound

This paper cites Nisqa: A deep cnn-self-attention model for multidimensional speech quality pre- diction with crowdsourced datasets,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Nisqa: A deep cnn-self-attention model for multidimensional speech quality pre- diction with crowdsourced datasets,

Reference 28

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Observation 19dd9b2a-49d7-4688-a944-9e8599a75257 · outbound

This paper cites Hallucination in perceptual metric-driven speech enhancement networks,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Hallucination in perceptual metric-driven speech enhancement networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:20.005475Z

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Observation e2518e7a-a00f-478f-abe5-525e202aa34b · outbound

This paper cites An overview of multi-task learning in deep neural networks,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification An overview of multi-task learning in deep neural networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:19.994398Z

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Observation 05818646-6738-4a57-9ddd-199d562323d4 · outbound

This paper cites BEATs: Audio pre-training with acoustic to- kenizers,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification BEATs: Audio pre-training with acoustic to- kenizers,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:19.985310Z

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Observation aebc4646-88f0-4a16-b3e8-57bcbf75fec7 · outbound

This paper cites Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:19.976010Z

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Observation 014a8bb2-4168-48c3-a442-168f1bee4121 · outbound

This paper cites Wavesplit: End-to-end speech separation by speaker clustering,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Wavesplit: End-to-end speech separation by speaker clustering,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:19.966245Z

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Observation fb1510eb-4c64-47b5-aada-3fdee4d7de85 · outbound

This paper cites The AMI Meeting Corpus: A Pre- announcement,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification The AMI Meeting Corpus: A Pre- announcement,

Reference 34

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Observation e2ccdfa0-b169-4d5b-b4b3-0a34d3d08f00 · outbound

This paper cites M2Met: The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification M2Met: The ICASSP 2022 Multi-Channel Multi-Party Meeting Transcription Challenge,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:19.950665Z

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Observation 5a0b28c5-50c1-44f0-bc0d-ddb1dd0f03e8 · outbound

This paper cites MLS: A Large-Scale Multilingual Dataset for Speech Research,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification MLS: A Large-Scale Multilingual Dataset for Speech Research,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:19.940318Z

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Observation 79768340-eee1-4774-b730-8ef1af09d142 · outbound

This paper cites MUSAN: A Music, Speech, and Noise Corpus.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification MUSAN: A Music, Speech, and Noise Corpus

Reference 37

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Observation 153e9b18-4ea5-417b-b93c-d74ff886df1b · outbound

This paper cites An open dataset of synthetic speech,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification An open dataset of synthetic speech,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:19.930422Z

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Observation 3d43015b-4aec-426c-a567-8d67381e9d58 · outbound

This paper cites OpenMIC-2018: An Open Dataset for Multiple Instrument Recognition,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification OpenMIC-2018: An Open Dataset for Multiple Instrument Recognition,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:19.920880Z

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Observation 94bc4d53-bd70-44fb-8698-49640fe024cb · outbound

This paper cites Learning sound event classifiers from web audio with noisy labels,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Learning sound event classifiers from web audio with noisy labels,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:19.910904Z

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Observation 071634a6-5ab4-47b2-82e3-4d333f345586 · outbound

This paper cites The Diverse Environments Multi-channel Acoustic Noise Database (DEMAND): A database of multichannel environmental noise recordings,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification The Diverse Environments Multi-channel Acoustic Noise Database (DEMAND): A database of multichannel environmental noise recordings,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:19.900996Z

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This paper cites Adam: A method for stochastic opti- mization,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Adam: A method for stochastic opti- mization,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:19.890136Z

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Observation a5aa999c-6a45-46ea-9f94-54606eccca78 · outbound

This paper cites Data augmen- tation for speech separation,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Data augmen- tation for speech separation,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:19.879696Z

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Observation e52c97ed-3e81-4024-aec6-8138acbdf9b0 · outbound

This paper cites Dnsmos: A non- intrusive perceptual objective speech quality metric to evaluate noise suppressors,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Dnsmos: A non- intrusive perceptual objective speech quality metric to evaluate noise suppressors,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:19.870112Z

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Observation 9b35680e-7f3d-4ca2-95a1-ec19dc7d79f5 · outbound

This paper cites Convolutional recurrent neural networks for poly- phonic sound event detection,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Convolutional recurrent neural networks for poly- phonic sound event detection,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:19.834641Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2a14e91f-c44d-491f-ab8d-9d88d3921049 · outbound

This paper cites Mlaad: The multi- language audio anti-spoofing dataset,.

Whilter: A Whisper-based Data Filter for "In-the-Wild" Speech Corpora Using Utterance-level Multi-Task Classification Mlaad: The multi- language audio anti-spoofing dataset,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:36:19.652398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation d39270fe-4d4d-49d2-aa0c-7197b77f5b29 · inbound